Regami Solutions

Regami Solutions

IT Services and IT Consulting

Bengaluru, Karnataka 6,405 followers

A company created to service the world to bring out great products that enriches our lives

About us

Regami was founded to provide world class product development services to companies. We have in-house expertise in 3 domains - Software Development Services, Embedded Design Services, and Manufacturing services. We can help you build embedded products, connect all the devices with rugged cloud, mobile, web app ecosystem and manufacture the embedded designs. Our services have applicability across use cases such as Medical Devices, Industrial IoT, Medical IoT, Retail Analytics, Smart Surveillance, Access Control, Augmented Reality, Virtual Reality, etc.

Website
https://www.regami.solutions
Industry
IT Services and IT Consulting
Company size
51-200 employees
Headquarters
Bengaluru, Karnataka
Type
Privately Held
Founded
2018

Locations

Employees at Regami Solutions

Updates

  • View organization page for Regami Solutions, graphic

    6,405 followers

    Choosing an IDE is like choosing a pair of shoes – it needs to fit right. Through the years, we’ve worked in various Python projects and Integrated Development Environments (IDEs) associated with it. The choice of IDE can significantly impact the productivity and efficiency of your development team. Here are some insights and suggestions to help you make informed decisions for your organization: 𝗪𝗵𝘆 𝘁𝗵𝗲 𝗥𝗶𝗴𝗵𝘁 𝗜𝗗𝗘 𝗠𝗮𝘁𝘁𝗲𝗿𝘀? 𝗣𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝘃𝗶𝘁𝘆 𝗕𝗼𝗼𝘀𝘁: A well-chosen IDE can streamline coding, debugging, and testing processes, saving valuable time. 𝗘𝗿𝗿𝗼𝗿 𝗥𝗲𝗱𝘂𝗰𝘁𝗶𝗼𝗻: Advanced features like code linting and syntax highlighting can help reduce errors and improve code quality. 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗘𝘅𝘁𝗲𝗻𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝘆: Modern IDEs offer seamless integration with version control systems, CI/CD pipelines, and other tools, enhancing workflow automation. 𝗢𝘂𝗿 𝗣𝗶𝗰𝗸𝘀 - 𝗣𝘆𝘁𝗵𝗼𝗻 𝗜𝗗𝗘𝘀 𝗮𝗻𝗱 𝗘𝗱𝗶𝘁𝗼𝗿𝘀: 𝗣𝘆𝗖𝗵𝗮𝗿𝗺 This full-featured IDE by JetBrains is excellent for professional developers. It offers powerful code analysis, debugging, and testing tools. The professional version includes support for web development frameworks like Django and Flask. 𝘉𝘦𝘴𝘵 𝘍𝘰𝘳: 𝘓𝘢𝘳𝘨𝘦-𝘴𝘤𝘢𝘭𝘦 𝘱𝘳𝘰𝘫𝘦𝘤𝘵𝘴, 𝘸𝘦𝘣 𝘥𝘦𝘷𝘦𝘭𝘰𝘱𝘮𝘦𝘯𝘵, 𝘢𝘯𝘥 𝘥𝘢𝘵𝘢 𝘴𝘤𝘪𝘦𝘯𝘤𝘦. 𝗩𝗶𝘀𝘂𝗮𝗹 𝗦𝘁𝘂𝗱𝗶𝗼 𝗖𝗼𝗱𝗲 (𝗩𝗦 𝗖𝗼𝗱𝗲) A versatile and highly customizable editor by Microsoft. It supports a wide range of extensions, making it adaptable to various development needs. 𝘉𝘦𝘴𝘵 𝘍𝘰𝘳: 𝘎𝘦𝘯𝘦𝘳𝘢𝘭-𝘱𝘶𝘳𝘱𝘰𝘴𝘦 𝘥𝘦𝘷𝘦𝘭𝘰𝘱𝘮𝘦𝘯𝘵, 𝘸𝘪𝘵𝘩 𝘢 𝘴𝘵𝘳𝘰𝘯𝘨 𝘤𝘰𝘮𝘮𝘶𝘯𝘪𝘵𝘺 𝘢𝘯𝘥 𝘦𝘹𝘵𝘦𝘯𝘴𝘪𝘷𝘦 𝘦𝘹𝘵𝘦𝘯𝘴𝘪𝘰𝘯 𝘭𝘪𝘣𝘳𝘢𝘳𝘺. 𝗝𝘂𝗽𝘆𝘁𝗲𝗿 𝗡𝗼𝘁𝗲𝗯𝗼𝗼𝗸 Essential for data scientists and researchers, Jupyter provides an interactive environment for running Python code, visualizing data, and documenting analysis. 𝘉𝘦𝘴𝘵 𝘍𝘰𝘳: 𝘋𝘢𝘵𝘢 𝘴𝘤𝘪𝘦𝘯𝘤𝘦, 𝘮𝘢𝘤𝘩𝘪𝘯𝘦 𝘭𝘦𝘢𝘳𝘯𝘪𝘯𝘨, 𝘢𝘯𝘥 𝘢𝘤𝘢𝘥𝘦𝘮𝘪𝘤 𝘳𝘦𝘴𝘦𝘢𝘳𝘤𝘩. 𝗦𝗽𝘆𝗱𝗲𝗿 Designed specifically for data science, Spyder integrates well with scientific libraries like NumPy, SciPy, and Matplotlib. It provides a MATLAB-like environment for interactive data exploration. 𝘉𝘦𝘴𝘵 𝘍𝘰𝘳: 𝘚𝘤𝘪𝘦𝘯𝘵𝘪𝘧𝘪𝘤 𝘤𝘰𝘮𝘱𝘶𝘵𝘪𝘯𝘨 𝘢𝘯𝘥 𝘥𝘢𝘵𝘢 𝘢𝘯𝘢𝘭𝘺𝘴𝘪𝘴. 𝗔𝘁𝗼𝗺 Known for its hackability, Atom allows developers to customize the editor to their liking. It’s great for those who prefer a lightweight editor with extensive plugin support. 𝘉𝘦𝘴𝘵 𝘍𝘰𝘳: 𝘋𝘦𝘷𝘦𝘭𝘰𝘱𝘦𝘳𝘴 𝘸𝘩𝘰 𝘦𝘯𝘫𝘰𝘺 𝘤𝘶𝘴𝘵𝘰𝘮𝘪𝘻𝘪𝘯𝘨 𝘵𝘩𝘦𝘪𝘳 𝘵𝘰𝘰𝘭𝘴 𝘢𝘯𝘥 𝘸𝘰𝘳𝘬𝘪𝘯𝘨 𝘰𝘯 𝘴𝘮𝘢𝘭𝘭𝘦𝘳 𝘱𝘳𝘰𝘫𝘦𝘤𝘵𝘴. Choosing the right Python IDE or editor can be a game-changer for your development team. By understanding the strengths and suitability of each option, you can empower your engineers to deliver high-quality software efficiently. Visit our website (link below in the comments) to learn more.

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    𝘚𝘵𝘰𝘱 𝘸𝘳𝘪𝘵𝘪𝘯𝘨 𝘴𝘱𝘢𝘨𝘩𝘦𝘵𝘵𝘪 𝘤𝘰𝘥𝘦! As a software engineering company, our primary focus often revolves around strategic growth, market positioning, and innovation. However, a fundamental element that underpins all these areas is the 𝗾𝘂𝗮𝗹𝗶𝘁𝘆 𝗼𝗳 𝗼𝘂𝗿 𝗰𝗼𝗱𝗲𝗯𝗮𝘀𝗲. 𝗖𝗹𝗲𝗮𝗻 𝗰𝗼𝗱𝗲 𝗽𝗿𝗶𝗻𝗰𝗶𝗽𝗹𝗲𝘀 𝗮𝗻𝗱 𝗰𝗼𝗱𝗲 𝗿𝗲𝗮𝗱𝗮𝗯𝗶𝗹𝗶𝘁𝘆 are not just technical niceties—they are critical drivers of our company's success. Here's why: 𝗠𝗮𝗶𝗻𝘁𝗮𝗶𝗻𝗮𝗯𝗶𝗹𝗶𝘁𝘆 Code that is easy to read and understand is easier to maintain. This translates into faster bug fixes, more efficient feature updates, and a significant reduction in technical debt. 𝗘𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝗰𝘆 Clear and well-structured code accelerates onboarding for new team members. They can quickly understand the system and start contributing, minimizing the ramp-up time and boosting productivity. 𝗜𝗻𝗻𝗼𝘃𝗮𝘁𝗶𝗼𝗻 A clean codebase fosters a culture of quality and innovation. When developers are not bogged down by deciphering convoluted code, they can focus their creative energies on developing cutting-edge solutions. 𝗖𝗼𝗹𝗹𝗮𝗯𝗼𝗿𝗮𝘁𝗶𝗼𝗻 Readable code enhances collaboration across teams. Whether it's peer reviews, pair programming, or cross-functional projects, a shared understanding of code increases cohesion and synergy among team members. 𝗥𝗲𝗽𝘂𝘁𝗮𝘁𝗶𝗼𝗻 In an industry where talent is one of our most valuable assets, maintaining a high standard of code quality is a reflection of our commitment to excellence. This not only attracts top talent but also assures our clients and stakeholders of the robustness of our solutions. The ROI on these investments is substantial, yielding long-term benefits for your product quality, team morale, and overall business growth. Here are some practical tips for maintaining clean code: 𝗖𝗼𝗻𝘀𝗶𝘀𝘁𝗲𝗻𝘁 𝗡𝗮𝗺𝗶𝗻𝗴: Use descriptive and consistent naming conventions. 𝗠𝗼𝗱𝘂𝗹𝗮𝗿𝗶𝘇𝗮𝘁𝗶𝗼𝗻: Break down complex functions; ensure each has a single responsibility. 𝗖𝗼𝗱𝗲 𝗥𝗲𝘃𝗶𝗲𝘄𝘀: Implement regular reviews to maintain standards and share knowledge. 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗲𝗱 𝗧𝗲𝘀𝘁𝗶𝗻𝗴: Ensure new changes don’t break existing functionality. 𝗥𝗲𝗳𝗮𝗰𝘁𝗼𝗿𝗶𝗻𝗴: Regularly improve existing code to reduce technical debt. 𝗗𝗼𝗰𝘂𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻: Maintain clear and concise documentation for context and understanding. 𝗟𝗶𝗻𝘁𝗶𝗻𝗴 𝗧𝗼𝗼𝗹𝘀: Use tools to check for style violations and errors automatically. Let's lead by example and champion the importance of clean, readable code in our organizations. The future of our tech-driven world depends on it.

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    Outdated IT systems can be a major hurdle for automation initiatives. We often encounter the challenge of integrating RPA (Robotic Process Automation) solutions with outdated IT infrastructures. This is a common scenario for businesses that have built their foundations on legacy systems and now need to modernize without completely overhauling their entire IT ecosystem. From on our experience, here are a few key insights for integrating RPA with outdated infrastructure. 𝗔𝘀𝘀𝗲𝘀𝘀 𝗮𝗻𝗱 𝗠𝗮𝗽 𝗢𝘂𝘁 𝗖𝘂𝗿𝗿𝗲𝗻𝘁 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 ◼ Start with a thorough assessment of your existing IT infrastructure. Identify legacy systems and understand their capabilities and limitations. ◼ Mapping out the architecture helps in pinpointing areas where RPA can deliver the most value without causing disruptions. 𝗟𝗲𝘃𝗲𝗿𝗮𝗴𝗲 𝗠𝗶𝗱𝗱𝗹𝗲𝘄𝗮𝗿𝗲 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀 ◼ Middleware can act as a bridge between modern RPA tools and legacy systems. This can facilitate data exchange and process automation without extensive system modifications. ◼ Consider solutions that offer pre-built connectors for commonly used legacy applications. 𝗙𝗼𝗰𝘂𝘀 𝗼𝗻 𝗣𝗿𝗼𝗰𝗲𝘀𝘀 𝗦𝘁𝗮𝗻𝗱𝗮𝗿𝗱𝗶𝘇𝗮𝘁𝗶𝗼𝗻 ◼ Standardize processes before implementing RPA. This makes it easier to automate tasks and ensures that bots operate consistently across different systems. ◼ Work with stakeholders to document and streamline workflows, eliminating unnecessary steps and variations. 𝗣𝗶𝗹𝗼𝘁 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝘀 𝗳𝗼𝗿 𝗩𝗮𝗹𝗶𝗱𝗮𝘁𝗶𝗼𝗻 ◼ Start with a pilot program targeting a few high-impact processes. This allows you to validate the integration approach and make necessary adjustments before scaling. ◼ Use feedback from the pilot to refine your strategy and address any integration issues early on. 𝗜𝗻𝘃𝗲𝘀𝘁 𝗶𝗻 𝗧𝗿𝗮𝗶𝗻𝗶𝗻𝗴 𝗮𝗻𝗱 𝗖𝗵𝗮𝗻𝗴𝗲 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁 ◼ Equip your team with the skills needed to manage and optimize RPA solutions. Provide training on both the technical and operational aspects of RPA. ◼ Implement a change management plan to address resistance and ensure smooth adoption across the organization. 𝗖𝗼𝗻𝘁𝗶𝗻𝘂𝗼𝘂𝘀 𝗠𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴 𝗮𝗻𝗱 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻 ◼ Post-deployment, continuously monitor the performance of RPA bots and the underlying infrastructure. Use analytics to identify areas for improvement. ◼ Regularly update and optimize bots to adapt to changes in business processes and IT environments. Integrating RPA with outdated IT infrastructures is challenging, but with the right approach, it can significantly enhance efficiency across your organization. By strategically navigating this integration, you can get the most out of your RPA implementations. Visit our website (link below in the comments) to know more about custom RPA solutions or integrating RPA into your existing systems. We can help you develop a practical RPA strategy tailored for your need.

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    Selecting the right project management methodology can make or break a project. As a software engineering company, we've navigated through various methodologies. Here are some of our insights on this matter. ⏩ 𝗪𝗮𝘁𝗲𝗿𝗳𝗮𝗹𝗹 𝘃𝘀. 𝗔𝗴𝗶𝗹𝗲: 𝗧𝗵𝗲 𝗖𝗹𝗮𝘀𝘀𝗶𝗰 Waterfall, with its linear and sequential approach, ensures thorough documentation and a structured process. It's beneficial for projects with well-defined requirements and where changes are minimal. However, its rigidity can be a drawback in a dynamic environment. Agile, on the other hand, promotes flexibility, iterative progress, and customer collaboration. It thrives in projects with evolving requirements, fostering rapid delivery and continuous improvement. Yet, agile's adaptability requires disciplined teams and constant stakeholder engagement. Other methodologies include Kanban, Lean, DevOps, Scrum etc. each having their pros and cons. ⏩ 𝗢𝘂𝗿 𝗞𝗲𝘆 𝗜𝗻𝘀𝗶𝗴𝗵𝘁𝘀 𝗧𝗲𝗮𝗺 𝗗𝘆𝗻𝗮𝗺𝗶𝗰𝘀 𝗠𝗮𝘁𝘁𝗲𝗿: Choose a methodology that aligns with your team's strengths and experience. Agile and Scrum work well with collaborative, self-organizing teams, while Kanban suits environments needing continuous flow and flexibility. 𝗖𝘂𝘀𝘁𝗼𝗺𝗲𝗿 𝗜𝗻𝘃𝗼𝗹𝘃𝗲𝗺𝗲𝗻𝘁: Regular customer feedback is critical. Agile and Scrum emphasize this, but Kanban and Lean also benefit from ongoing stakeholder engagement. 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗦𝗰𝗼𝗽𝗲 𝗮𝗻𝗱 𝗙𝗹𝗲𝘅𝗶𝗯𝗶𝗹𝗶𝘁𝘆: Assess the project's complexity and likelihood of scope changes. Agile and Scrum handle uncertainty better, while Waterfall excels with clear, unchanging requirements. 𝗢𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗘𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝗰𝘆: For organizations focusing on operational efficiency and continuous delivery, Lean and DevOps provide robust frameworks to streamline processes and improve quality. Based on our experiences, we recommend adopting a 𝙎𝙘𝙖𝙡𝙚𝙙 𝘼𝙜𝙞𝙡𝙚 𝙁𝙧𝙖𝙢𝙚𝙬𝙤𝙧𝙠 (𝙎𝘼𝙁𝙚) for larger projects. SAFe integrates Agile practices at an enterprise level, ensuring alignment across teams while maintaining flexibility and promoting continuous improvement. It provides a structured approach to scaling Agile, facilitating better collaboration and delivery. By embracing SAFe, we've seen significant improvements in project delivery times, team morale, and customer satisfaction. It's worth considering for organizations looking to scale Agile practices effectively. What methodologies have you found most effective in your projects? Visit our website (link below in the comments) to know more.

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    Many RPA deployments start strong, only to fizzle out when it comes to enterprise-wide scaling. The key to success lies in building a robust, technical foundation. Here's a glimpse into our approach at Regami: 𝗟𝗲𝘃𝗲𝗿𝗮𝗴𝗲 𝗣𝗿𝗼𝗰𝗲𝘀𝘀 𝗠𝗶𝗻𝗶𝗻𝗴: We don't rely solely on business process documentation, which can be outdated. We utilize process mining tools to uncover the true "as-is" state of your workflows, identifying bottlenecks and optimization opportunities for a more targeted automation approach. 𝗘𝗺𝗯𝗿𝗮𝗰𝗲 𝗔𝗣𝗜 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻: Modern RPA platforms go beyond desktop automation. We ensure seamless integration with your existing enterprise applications (ERPs, CRMs etc.) via APIs. This unlocks broader automation possibilities and eliminates the need for fragile screen scraping techniques. 𝗦𝘁𝗮𝗻𝗱𝗮𝗿𝗱𝗶𝘇𝗲 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 & 𝗚𝗼𝘃𝗲𝗿𝗻𝗮𝗻𝗰𝗲: Chaos breeds inefficiency. We implement a standardized development framework for RPA bots, ensuring maintainability, reusability, and version control. Additionally, a robust governance model with centralized logging, auditing, and user access controls becomes crucial for large-scale deployments. 𝗢𝗿𝗰𝗵𝗲𝘀𝘁𝗿𝗮𝘁𝗲 𝗳𝗼𝗿 𝗘𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝗰𝘆: Isolated bots are good for simple tasks. But for complex workflows, we leverage RPA orchestration tools. These tools seamlessly connect multiple bots, manage dependencies, and handle exception scenarios, creating a truly automated ecosystem. 𝗖𝗹𝗼𝘂𝗱-𝗡𝗮𝘁𝗶𝘃𝗲 𝗳𝗼𝗿 𝗦𝗰𝗮𝗹𝗮𝗯𝗶𝗹𝗶𝘁𝘆: On-premises RPA solutions can become tiresome as you scale. We advocate for cloud-based RPA platforms that offer elastic scalability, centralized deployment, and easier collaboration for geographically dispersed teams. Ready to take your RPA initiatives to the next level? We offer RPA solutions tailored for the unique and specific needs of your industry. Visit our webpage (link below in the comments) to learn more about how we can help you or to book a free, no-obligation consultation with an expert.

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    Transitioning from academia to industry, our 2024 campus drive has enriched Regami Solutions with exceptional talent. As we welcome these bright minds, we embrace diversity, innovation, and collaboration as the pillars of our success. Join us on this exciting journey where every individual's unique potential fuels our collective growth and impact in the world of technology. #campushiring #newbeginnings2024 #techtalent #talentacquisition #techcareers #youngtalents

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